In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Create custom Chatling and Clarifai workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.
List chatbot templates
Get a list of all the available chatbot templates.
Create chatbot
Create a new chatbot.
List chatbots
Get a list of all existing chatbots.
Retrieve chatbot
Retrieve details of a specific chatbot.
Update chatbot settings
Update settings for a specific chatbot.
List contacts
Get a list of all contacts.
Retrieve contact
Retrieve details of a specific contact.
Delete contact
Delete a specific contact.
Delete contact
Delete a specific contact from the project.
List conversations
Get a list of all conversations.
Retrieve conversation
Retrieve details of a specific conversation.
List data sources
Get a list of all data sources in the knowledge base.
List settings
Retrieve a list of project settings.
Update settings
Update the project settings.
List members
Retrieve a list of project members.
List AI models
Retrieve a list of available AI models.
List AI languages
Retrieve a list of supported AI languages.
Chat
Send a chat request to the AI service.
Add link
Add a link to the knowledge base.
Add text
Add text to the knowledge base.
To set up Chatling integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Chatling to query the data you need using the API endpoint URLs you provide.
These API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Chatling official documentation to get a full list of all API endpoints and verify the scraped ones!
List annotation filters
List all the annotation filters.
Get specific annotation filter
Get a specific annotation filter.
List annotations
List all the annotation.
Delete annotations
Request to delete several things by the list of ids.
Execute a search over annotations
Execute a search over annotations.
List evaluation results
List the evaluation results between two search requests.
Get annotation search metrics
Get the evaluation results between two search requests.
List annotation workers
Lists users, models, and workflows that have added annotations to the application.
Get app
Get a specific app from an app.
List apps
Retrieve a list of all available apps.
List bulk operations
List all the bulk operations
List collectors
List all the collectors.
Get collector
Get a specific collector from an app.
Get InstanceTypes
Get InstanceTypes given Cloud Provider and Region.
List all concepts
List all the concepts.
List domain graphs
List all domain graphs.
Search concepts
Search over the concepts to find one or more you're looking for.
List concept counts
List all the concepts with their positive and negative counts.
Get specific concept
Get a specific concept from an app.
List concept languages
List the concept in all the translated languages.
Get specific concept
Get a specific concept from an app.
List datasets
List all the datasets.
Delete datasets
Delete one or more datasets in a single request.
Get dataset
Get a specific dataset.
List dataset inputs
List all the dataset inputs in a dataset.
Patch datasets
Patch one or more datasets.
Create model
Learn how to create models on the Clarifai platform.
To set up Clarifai integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Clarifai to query the data you need using the API endpoint URLs you provide.
These API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Clarifai official documentation to get a full list of all API endpoints and verify the scraped ones!
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